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nature-experiment-log

Convert experiment images, voice notes, and text into structured Markdown logs with YAML frontmatter.

Updated Jul 5, 2026
Search Tags:#markdown#research#obsidian#yaml frontmatter#feishu#lab notebook#experiment log
One-click install
npx skills add https://github.com/huaibovip/research-marketplace --skill nature-experiment-log-huaibovip
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nature-experiment-log
Source: https://github.com/huaibovip/research-marketplace/tree/main/plugins/nature-skills/skills/nature-experiment-log
Command: npx skills add https://github.com/huaibovip/research-marketplace --skill nature-experiment-log-huaibovip

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Raw experiment materials like photos, voice transcripts, and scattered notes are hard to trace and reuse. This Skill organizes them into standardized, traceable experiment logs with consistent IDs, frontmatter, and archived attachments. ## Core Features & Use Cases - Structured Log Generation: Extracts samples, conditions, observations, and anomalies from images, audio transcripts, or text into Markdown logs with YAML frontmatter. - ID and Archive Management: Generates experiment IDs and sample batch IDs, archives raw attachments under dated folders, and links them from the log. - Optional Integrations: Works with Obsidian vaults (Dataview dashboards, anomaly and equipment tracking templates) and Feishu CLI for pulling group messages and attachments. - Use Case: Upload photos of a corrosion test and say "record this experiment" to receive a complete log with frontmatter, missing-field checklist, and next-step suggestions. ## Quick Start Use nature-experiment-log to turn these experiment photos and notes into a structured Markdown experiment log with YAML frontmatter.

Frequently Asked Questions about nature-experiment-log

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn experiment photos into a structured lab log?▼

Upload the photos directly in the session or provide a local folder path. The skill extracts samples, conditions, and observations via vision analysis, then writes a Markdown log with YAML frontmatter and archives the raw images under a dated folder.

How to record lab experiments in Obsidian with Dataview?▼

Point the output directory at your Obsidian vault and copy the provided templates for the experiment index, anomaly log, and equipment tracking. The YAML frontmatter fields let Dataview queries automatically build experiment dashboards.

Can I use this experiment logging skill without Obsidian or Feishu?▼

Yes, the core workflow outputs plain Markdown to any local folder and does not require Obsidian or Feishu. Those integrations are optional and only needed when writing to a vault or pulling messages from a Feishu group.

Does the experiment log skill fill in missing data automatically?▼

No, it never invents temperatures, durations, recipes, or results. Unconfirmed fields are marked as AUTHOR_INPUT_NEEDED or raised as confirmation questions so the author supplies the correct values.

What experiment ID format does the log use?▼

IDs follow the pattern system-code, device-code, date, and sequence number, such as CL-M-260529-001. Sample batches use a separate batch ID that stays consistent across experiments for tracking.

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